Evidence map›Paper›PMID 35019203›Full record

ArticleAging cell2022

The metabolome as a biomarker of aging in Drosophila melanogaster.

Xiaqing Zhao, Forrest T Golic, Benjamin R Harrison, Meghna Manoj, Elise V Hoffman, Neta Simon, Richard Johnson, Michael J MacCoss, Lauren M McIntyre, Daniel E L Promislow

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.1field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 46 citations in OpenAlex.

  1. Metabolomic Profiling ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Article
  4. Tissue-specific metabolomic signatures for aRoyal Society open science · 2025
    Article
  5. Article
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  7. Article
  8. Use ofBiomolecules · 2024
    Review
  9. Article
  10. Natural variation in age-related dopamine neuron degeneration is glutathione dependent and linked to life span.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
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  17. Long-Term DietaryFoods (Basel, Switzerland) · 2022
    Article
  18. Review
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  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Xiaqing ZhaoDepartment of Lab Medicine and Pathology, University of Washington School of Medicine, Seattle, US.
Forrest T GolicDepartment of Lab Medicine and Pathology, University of Washington School of Medicine, Seattle, US.
Benjamin R HarrisonDepartment of Lab Medicine and Pathology, University of Washington School of Medicine, Seattle, US.
Meghna ManojDepartment of Lab Medicine and Pathology, University of Washington School of Medicine, Seattle, US.
Elise V HoffmanDepartment of Lab Medicine and Pathology, University of Washington School of Medicine, Seattle, US.
Neta SimonDepartment of Lab Medicine and Pathology, University of Washington School of Medicine, Seattle, US.
Richard JohnsonDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, US.
Michael J MacCossDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, US.
Lauren M McIntyreGenetics Institute, University of Florida, Gainesville, USA.
Daniel E L PromislowDepartment of Lab Medicine and Pathology, University of Washington School of Medicine, Seattle, US.ORCID 0000-0001-7088-4495
University of Washington · USUniversity of Florida · US

Funding

University of Washington Nathan Shock Center of Excellence in the Basic Biology of AgingP30AG013280 · NIA · UNIVERSITY OF WASHINGTON · PI Michael MacCoss · 1995 to 2026
$27.1M
TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI YATES III, JOHN R · 2012 to 2021
$20.7M
Seattle Quant: A Resource for the Skyline Software EcosystemR24GM141156 · NIGMS · UNIVERSITY OF WASHINGTON · PI Michael MacCoss · 2021 to 2026
$6.7M
Portal for Open Computational Metabolomics Tools - Yr 4 U2C SupplementU2CES030167 · NIEHS · UNIVERSITY OF GEORGIA · PI EDISON, ARTHUR S · 2018 to 2021
$4.2M
Metabolome-Genome Associations for Determining Mechanisms of Aging in DrosophilaR01AG049494 · NIA · UNIVERSITY OF WASHINGTON · PI PROMISLOW, DANIEL EDWARD · 2015 to 2019
$1.8M
NIA NIH HHS P30 AG013280NIA NIH HHS R01 AG049494NIEHS NIH HHS U2C ES030167NIEHS NIH HHS U2CES030167NIGMS NIH HHS P41 GM103533NIGMS NIH HHS P41GM103533NIGMS NIH HHS R24 GM141156NIGMS NIH HHS R24GM141156
6 · The paper itself

Abstract

Many biomarkers have been shown to be associated not only with chronological age but also with functional measures of biological age. In human populations, it is difficult to show whether variation in biological age is truly predictive of life expectancy, as such research would require longitudinal studies over many years, or even decades. We followed adult cohorts of 20 Drosophila Genetic Reference Panel (DGRP) strains chosen to represent the breadth of lifespan variation, obtain estimates of lifespan, baseline mortality, and rate of aging, and associate these parameters with age-specific functional traits including fecundity and climbing activity and with age-specific targeted metabolomic profiles. We show that activity levels and metabolome-wide profiles are strongly associated with age, that numerous individual metabolites show a strong association with lifespan, and that the metabolome provides a biological clock that predicts not only sample age but also future mortality rates and lifespan. This study with 20 genotypes and 87 metabolites, while relatively small in scope, establishes strong proof of principle for the fly as a powerful experimental model to test hypotheses about biomarkers and aging and provides further evidence for the potential value of metabolomic profiles as biomarkers of aging.

Indexed as

Drosophila melanogasterMetabolomeAgingAnimalsBiomarkersLongevityBiomarkersagingbiomarkerdrosophilametabolomicsmortality

Identifiers

PMID35019203
PMCPMC8844127
OpenAlexW4205323447

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.